Hello, I am currently working with the Titanic_train dataset, which lists that survival of different passengers aboard the Titanic. I'm trying to take a logistic regression model I fit to that dataset and use it to predict the survial probabilities of a different dataset (Titanic_test). So far I have figured out the first part, the logistic regression model for the train dataset, with my code posted: ods graphics on; proc logistic data=TitanicTrain plots(only)=(roc(id=obs) effect); model survived(event='1')=age male family passenger_class /scale=none clparm=both clodds=both; run; However, I can't figure out how to take that model and and use it on the other dataset. For clarification, the second dataset doesn't tell me wether the passenger survived or not. I'm trying to predict that. I honestly don't know where to start on this problem and any help would be appreciated.
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